Automatic Bag-breaking Classification and Collection System for Kitchen Waste Based on OpenCV

Traditional kitchen waste disposal requires manual separation of plastic bags from food waste, which is cumbersome and unhygienic. However, the capacity, shape, size used to hold are different, resulting in an unstable bottom position when putting them in. Therefore, it difficult break any by using traditional mechanical devices. This paper introduces a computer vision-based automatic bag-breaking classification collection system for aims solve various pain points process placement. The involves vision, single-chip microcomputer, internet things (IoT) technology. When residents dispose they only need hang bag on device, will visually judge bag, then control motor adjust corresponding fall into garbage bin, judged visual inspection whether breaking completed, if thrown another bin.